Thresh: Grain Threshing & Harvest Optimization for Openclaw

A technical reference skill for optimizing combine harvester operations, reducing grain loss, and managing post-harvest handling.

bytesagain3
v1.0.0
Mar 21, 2026
0
762
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install thresh

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install thresh using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Thresh: Grain Threshing & Harvest Optimization?

Thresh is a specialized Openclaw Skills module designed to provide immediate technical intelligence for agricultural harvest operations. It serves as a digital companion for operators and engineers, offering deep insights into threshing principles, mechanical cylinder configurations, and concave settings.

By leveraging this skill, users can access precise data on crop-specific parameters and modern harvesting methods. Whether you are troubleshooting rotor systems or calculating moisture content for ideal harvest timing, Thresh provides the structured data necessary to maximize yield and maintain grain quality during the critical harvest window.

Thresh: Grain Threshing & Harvest Optimization Use Cases

  • Calibrating combine harvester parameters for specific grain varieties to minimize mechanical damage.
  • Implementing grain loss reduction strategies by identifying and measuring loss sources in the field.
  • Determining optimal harvest timing based on maturity indicators and moisture content analysis.
  • Standardizing post-harvest handling procedures including drying, cleaning, and storage quality control.
  • Training operators using practical threshing scenarios and comprehensive pre-harvest checklists.

How Thresh: Grain Threshing & Harvest Optimization Works

  1. The user triggers the Openclaw Skills environment and selects the Thresh module to access the agricultural knowledge base.
  2. The skill queries internal reference data to provide specific mechanical settings for various threshing mechanisms like cylinders or rotors.
  3. Operators input crop types to receive tailored configuration tables for concave clearance and drum speeds.
  4. The system provides diagnostic checklists to evaluate machine performance and identify areas where grain loss occurs.
  5. Post-harvest workflows are generated to guide the transition from field collection to long-term storage.

Thresh: Grain Threshing & Harvest Optimization Setup

To integrate this module into your Openclaw Skills library, follow these installation steps:

  1. Clone the repository:
git clone https://github.com/bytesagain/ai-skillsncd ai-skills
  1. Configure the environment: Set your preferred data directory in your shell profile:
export THRESH_DIR="~/.thresh/"
  1. Verify the installation:
scripts/script.sh version

Thresh: Grain Threshing & Harvest Optimization Data Schema & Taxonomy

The Thresh skill organizes agricultural data into a hierarchical reference structure. All metadata and operational logs are stored in the directory defined by the THRESH_DIR variable.

Component Data Type Description
Crop Settings Markdown Table Optimal RPM, concave clearance, and fan speeds per crop.
Loss Metrics Numeric Schema Calculations for header, threshing, and separation loss.
Checklists Boolean List Step-by-step pre-flight and operational machine checks.
Mechanisms Technical Specs Structural data on rasp bar cylinders, spike tooth, and rotary systems.

Thresh: Grain Threshing & Harvest Optimization Advanced Features

  • Multi-agent support for integrating harvest data into broader farm management ERPs.
  • Customizable THRESH_DIR hooks for syncing harvest logs across distributed team environments.
  • Automated troubleshooting scenarios for rapid response to mechanical grain damage issues.
  • Comprehensive post-harvest quality taxonomy for tracking grain lifecycle from field to storage.

SKILL.md


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